• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A Novel Cluster-Based Cooperative Spectrum Sensing with Double Adaptive Energy Thresholds and Multi-Bit Local Decision in Cognitive Radio

Vol. 3, No. 5, October 29, 2009
10.3837/tiis.2009.05.003, Download Paper (Free):

Abstract

The cognitive radio (CR) technique is a useful tool for improving spectrum utilization by detecting and using the vacant spectrum bands in which cooperative spectrum sensing is a key element, while avoiding interfering with the primary user. In this paper, we propose a novel cluster-based cooperative spectrum sensing scheme in cognitive radio with two solutions for the purpose of improving in sensing performance. First, for the cluster header, we use the double adaptive energy thresholds and a multi-bit quantization with different quantization interval for improving the cluster performance. Second, in the common receiver, the weighed HALF-voting rule will be applied to achieve a better combination of all cluster decisions into a global decision.


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Cite this article

[IEEE Style]
H. Van and I. Koo, "A Novel Cluster-Based Cooperative Spectrum Sensing with Double Adaptive Energy Thresholds and Multi-Bit Local Decision in Cognitive Radio," KSII Transactions on Internet and Information Systems, vol. 3, no. 5, pp. 461-474, 2009. DOI: 10.3837/tiis.2009.05.003.

[ACM Style]
Hiep-Vu Van and Insoo Koo. 2009. A Novel Cluster-Based Cooperative Spectrum Sensing with Double Adaptive Energy Thresholds and Multi-Bit Local Decision in Cognitive Radio. KSII Transactions on Internet and Information Systems, 3, 5, (2009), 461-474. DOI: 10.3837/tiis.2009.05.003.

[BibTeX Style]
@article{tiis:19830, title="A Novel Cluster-Based Cooperative Spectrum Sensing with Double Adaptive Energy Thresholds and Multi-Bit Local Decision in Cognitive Radio", author="Hiep-Vu Van and Insoo Koo and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2009.05.003}, volume={3}, number={5}, year="2009", month={October}, pages={461-474}}